Community standards for open cell migration data
Author(s) -
Alejandra González-Beltrán,
Paola Masuzzo,
Christophe Ampè,
GertJan Bakker,
Sébastien Besson,
Robert H. Eibl,
Peter Friedl,
Matthias Gunzer,
Mark Kittisopikul,
Sylvia E. Le Dévédec,
Simone Leo,
Josh Moore,
Yael Paran,
Jaime Prilusky,
Philippe RoccaSerra,
Philippe Roudot,
Marc Schuster,
Gwendolien Sergeant,
Staffan Strömblad,
Jason R. Swedlow,
Merijn van Erp,
Marleen Van Troys,
Assaf Zaritsky,
SusannaAssunta Sansone,
Lennart Martens
Publication year - 2020
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giaa041
Subject(s) - standardization , computer science , interoperability , data science , reuse , process (computing) , field (mathematics) , domain (mathematical analysis) , world wide web , knowledge management , ecology , mathematical analysis , mathematics , pure mathematics , biology , operating system
Cell migration research has become a high-content field. However, the quantitative information encapsulated in these complex and high-dimensional datasets is not fully exploited owing to the diversity of experimental protocols and non-standardized output formats. In addition, typically the datasets are not open for reuse. Making the data open and Findable, Accessible, Interoperable, and Reusable (FAIR) will enable meta-analysis, data integration, and data mining. Standardized data formats and controlled vocabularies are essential for building a suitable infrastructure for that purpose but are not available in the cell migration domain. We here present standardization efforts by the Cell Migration Standardisation Organisation (CMSO), an open community-driven organization to facilitate the development of standards for cell migration data. This work will foster the development of improved algorithms and tools and enable secondary analysis of public datasets, ultimately unlocking new knowledge of the complex biological process of cell migration.
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